Fraud Detection in E-Commerce Using Machine Learning

Abstract

Customers rely heavily on decisions to purchase products either on commerce sites or in online retail outlets. Since these reviews are the game changers for success or failure in product marketing, reviews are used for positive or negative ideas. Improper reviews may also be referred to as false / fraudulent reviews or spam comments or false reviews. To downgrade or advance the item, resentful audits or phony surveys, which are tricky, are posted in the web-based business site. This outcome will prompt possible monetary misfortunes or bigger measure of development in business.So, the proposed system is design and developed in such way that it will detect fake, false and spam reviews for fraud detection using machine learning approaches like Sentiment Analysis, Support Vector Machine (SVM), Decision Tree algorithm, and N-gram model